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Effectiveness Assessment of Recent Large Vision-Language Models
March 8, 2024, 5:42 a.m. | Yao Jiang, Xinyu Yan, Ge-Peng Ji, Keren Fu, Meijun Sun, Huan Xiong, Deng-Ping Fan, Fahad Shahbaz Khan
cs.LG updates on arXiv.org arxiv.org
Abstract: The advent of large vision-language models (LVLMs) represents a noteworthy advancement towards the pursuit of artificial general intelligence. However, the extent of their efficacy across both specialized and general tasks warrants further investigation. This article endeavors to evaluate the competency of popular LVLMs in specialized and general tasks, respectively, aiming to offer a comprehensive comprehension of these innovative methodologies. To gauge their efficacy in specialized tasks, we tailor a comprehensive testbed comprising three distinct scenarios: …
abstract advancement article artificial artificial general intelligence arxiv assessment cs.ai cs.cv cs.lg general however intelligence investigation language language models popular tasks type vision vision-language models
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